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Discussion on the Application of Multi-modal Magnetic Resonance Imaging Fusion in Schizophrenia

  • Xiaohong Wang
  • Na Zhao
  • Jingjing Shi
  • Yuhua Wu
  • Jun Liu
  • Qiang Xiao
  • Jian HuEmail author
Image & Signal Processing
Part of the following topical collections:
  1. Artificial Intelligence Application in Health Informatics

Abstract

In order to study the application of multi-modal magnetic resonance imaging (MRI) fusion technology in schizophrenia, a 4-way multi-modal fusion method based on mCCA+jICA is used to fuse the local consistency and functional network connection of resting-state functional MRI, gray matter volume of structural MRI, and partial anisotropy of diffusion MRI four characteristics of large sample of schizophrenic patients in multi-site China, trying to find out the common characteristics of function and structure of significant differences between schizophrenia and healthy controls. It is found that compared with normal people, schizophrenic patients show higher local consistency, lower gray matter volume, lower functional network connectivity and decreased white matter integrity in the anterior thalamic radiation, upper bundle and other bundles in brain areas such as basal ganglia network, hippocampus and prominence network. There is a significant correlation between a thalamocortical perceptual loop and auditory hallucination in schizophrenia, and there is a high degree of spatial consistency and commonality among the three MRI features. The higher the volume of gray matter in the dorsolateral and medial prefrontal cortex is, the higher the integrity of white matter fibers such as corticospinal tract, superior longitudinal tract and anterior thalamic radiation is, the higher the digital backward score is, and the better the working memory ability of the subjects is.

Keywords

MR Multi-modal fusion Auditory hallucination Schizophrenia 

Notes

Funding

There was no dedicated funding regarding this study.

Compliance with Ethical Standards

Conflict of Interest

Author Xiaohong Wang declares that he has no conflict of interest. Author Na Zhao declares that he has no conflict of interest. Author Jingjing Shi declares that he has no conflict of interest. Author Yuhua Wu declares that he has no conflict of interest. Author Jun Liu declares that he has no conflict of interest. Author Qiang Xiao declares that he has no conflict of interest. Author Jian Hu declares that he has no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

This article does not contain any studies with animals performed by any of the authors.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Xiaohong Wang
    • 1
  • Na Zhao
    • 1
  • Jingjing Shi
    • 2
  • Yuhua Wu
    • 2
  • Jun Liu
    • 2
  • Qiang Xiao
    • 3
  • Jian Hu
    • 1
    Email author
  1. 1.Department of PsychiatryThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
  2. 2.The First Specialized Hospital of HarbinHarbinChina
  3. 3.Department of RadiologyThe First Specialized Hospital of HarbinHarbinChina

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